What kind of jobs can I engage in after graduating from artificial intelligence?

The employment prospects of artificial intelligence are very good, and the employment directions mainly include machine vision, fingerprint recognition, face recognition, retinal recognition, palmprint recognition, expert system, automatic planning, intelligent search, theorem proof, game, automatic program design, intelligent control, robotics, language and image understanding, genetic programming, etc. Sequence Design, Intelligent Control, Robotics, Language and Image Understanding, Genetic Programming, etc.

1. What kind of work do you do after learning artificial intelligence?

1. Algorithm engineer. Conduct research on cutting-edge algorithms related to artificial intelligence, including the application of machine learning, knowledge application, intelligent decision-making and other technologies. Taking the process of machine learning as an example, it involves steps such as data collection, data collation, algorithm design, algorithm training, algorithm verification, and algorithm application, so algorithms are the focus of machine learning development.

2. Program development engineer. On the one hand, the program development engineer needs to complete the algorithm implementation, and on the other hand, the program development engineer needs to complete the implementation of the project and the integration of various functional modules.

3. Artificial intelligence operation and maintenance engineer. R&D of big data and AI product related operations, operation and maintenance products; Development and construction of operation and maintenance tools and systems of related components; Provide customer support for big data and AI cloud products.

4. R&D engineer of intelligent robots. The R&D direction is mainly engaged in the development of robot control systems, the design and development of high-precision devices, etc. The industrial robot system integration direction is mainly engaged in workstation design, electrical design, device selection, robot debugging, programming, maintenance, etc.

5. AI hardware expert. Another growing blue-collar job in the AI space is the industrial operations responsible for creating AI hardware, such as GPU chips. Big Tech has now taken steps to build its own specialized chips.

These are the jobs that AI can do after graduation.

The future development prospects of artificial intelligence are very broad, and the main work directions that can be engaged in are smart cars, intelligent robots, intelligent customer service, virtual anchors, intelligent creation, intelligent medical care, intelligent RPA, smart cities, search engine + intelligent recommendation, industrial vision, financial big data and other scenarios.

With the increasing maturity of fields such as machine translation, image and face recognition, if the first half of artificial intelligence is a leap in technology, then the second half of artificial intelligence is implemented in various scenarios, and the second half of artificial intelligence has just begun.

If it helps you, hopefully!

Educate. At present, in terms of education, the academic requirements for artificial intelligence are not particularly high, but students should have sufficient knowledge of artificial intelligence, majors, and knowledge. Because artificial intelligence is particularly involved in a wide range of disciplines, coupled with the field of education, no matter which discipline it is, teachers need to be proficient in the use of intelligent products, and artificial intelligence can realize the intelligence, diversification and globalization of education in education.

In order to make teaching more convenient, artificial intelligence will be widely used in the field of education, which may be a huge opportunity for students majoring in artificial intelligence.

Software development. In the field of software development, a bachelor's degree or higher is usually required, the higher the better. Professions such as programmers and network engineers are now popular high-paying industries, but these occupations also have higher requirements for employees.

Familiarity with math, programming, etc., is the trick to acquiring such popular industries. As long as you have enough professional knowledge, there is no problem in achieving good and stable employment in this area.

Communication networks. After graduation, artificial intelligence majors can work in the field of network communication, such as wired transmission engineers, operation and maintenance engineers, etc. Communication networks generally have two tasks, one is the control of the network, and the other is the management and maintenance of the network.

Network control is the effective scheduling of resources, improving network efficiency, and enabling the network to better serve the masses. The second is to accurately understand network requirements, optimize network design and deployment, and be able to perceive network conditions in real time and troubleshoot in a timely manner. The artificial intelligence industry can be said to be like a fish in water in this regard, and the fit between work tasks and professions is very high.

Artificial intelligence. Employment direction: scientific research, engineering development. Computer orientation. Software. Applied mathematics. Electrical automation. Correspondence. Mechanical engineering.

Artificial intelligence can be said to be a high-end discipline, which belongs to the intersection of social science and natural science, involving mathematics, psychology, neurophysiology, information theory, computer science, philosophy and cognitive science, uncertainty theory and cybernetics. His research interests include natural language processing, machine learning, neural networks, pattern recognition, and intelligent search. Applications include machine translation, language and image understanding, automatic programming, expert systems, and more.

The future of AI is very promising. The work directions that can be engaged mainly include smart cars, intelligent robots, intelligent customer service, virtual anchors, intelligent creation, intelligent medical care, intelligent RPA, smart cities, search engine + intelligent recommendation, industrial vision, financial big data and other scenarios. With the maturity of machine translation, image and face recognition, if the first half of artificial intelligence is a technological leap, then the second half of artificial intelligence will land in various scenarios, and the second half of artificial intelligence has just begun.

If I help you, I hope to adopt it!

After learning artificial intelligence, he became an algorithm engineer, and algorithm engineer is a relatively high-end position. The main research directions of algorithm engineers are algorithm engineers, image processing algorithm engineers, audio algorithm engineers, communication baseband algorithm engineers, and signal algorithm engineers.

Image recognition engineer, image recognition, refers to the use of computers to process, analyze and understand images to identify various patterns of objects and objects, is a practical application of deep learning algorithms.

At present, image recognition technology is generally divided into face recognition and commodity recognition, and face recognition is mainly used in security inspection, identity verification and mobile payment; Commodity identification is mainly used in the process of commodity circulation, especially in unmanned retail fields such as unmanned shelves and intelligent retail cabinets.

Prospects for the development of artificial intelligence

The development of artificial intelligence has entered a new stage. After more than 60 years of evolution, especially driven by new theories and technologies such as mobile Internet, big data, supercomputing, sensor networks, and brain science, as well as the strong needs of economic and social development, the development of artificial intelligence has accelerated, showing new characteristics such as deep learning, cross-border integration, human-machine collaboration, open crowd intelligence, and autonomous control.

Big data-driven knowledge learning, cross-cutting-edge collaborative processing, human-machine collaborative enhanced intelligence, group integrated intelligence, and autonomous intelligent systems have become the focus of the development of artificial intelligence, and brain-like intelligence inspired by brain science research results is poised to take off, and the trend of chip-based hardware platform is more obvious, and the development of artificial intelligence has entered a new stage.

At present, the overall advancement of the development of a new generation of artificial intelligence-related disciplines, theoretical modeling, technological innovation, and software and hardware upgrades is triggering chain breakthroughs and accelerating the leap from digitalization and networking to intelligence in various fields of economy and society.

After graduating from the artificial intelligence major, you can engage in R&D and design in the field of software in the direction of artificial intelligence.

The main employment directions are: scientific research institutions (robotics research institutes, etc.), software and hardware developers, university lecturers, etc. In China, the employment prospects are relatively good, and the domestic industrial upgrading, the transformation of the IT industry, the research and development of industrial and robotic robots, intelligent robots and wearable devices will be strong hotspots in the future.

Artificial intelligence is an interdisciplinary discipline that involves many fields and involves many applications and technologies. As a result, AI graduates can pursue careers in many directions, and here are some possible ones:

Machine Learning Engineers: Develop machine learning models and algorithms to solve real-world problems for applications in various fields such as finance, healthcare, energy, and more.

Natural Language Processing Engineer: Design and implement natural language processing algorithms that allow computers to process human language, such as speech recognition, automatic translation, semantic analysis, and more.

Data scientist: Analyze large amounts of data, extract information and insights from it, and leverage machine learning and data mining techniques to develop future trends and behaviors.

Intelligent Orange Branch System Development Engineer: Design and develop intelligent systems, such as chatbots, voice assistants, automation control systems, etc.

Artificial Intelligence Researcher: Conduct research and development in the field of artificial intelligence and explore new algorithms, methods and technologies to advance the development of artificial intelligence.

Data engineer: Design, build, and maintain big data platforms, such as data warehouses, data integration, and data analytics systems, to support AI applications.

AI Product Manager: Xiansan is responsible for developing the strategy and planning of AI products and collaborating with the team to achieve product development.

AI Ethicist: Studying the ethical and social implications of AI to provide moral guidance for the development of AI.

This is only part of the direction, AI graduates can also find jobs in other fields, such as finance, healthcare, transportation, education, etc.

Machine Learning Engineer: Responsible for designing and implementing machine learning algorithms, establishing models and classifiers, and providing data analysis and decision support for enterprises.

Deep Learning Engineer: Responsible for the design and implementation of deep neural networks, solving problems such as image recognition, speech recognition, and natural language processing, and developing intelligent applications.

Data Scientist: Data mining and machine learning techniques are used to analyze data and extract useful information to support business decision-making.

Natural Language Processing Engineer: Responsible for the design and implementation of natural language processing algorithms, including speech synthesis, speech recognition, natural language understanding and generation, etc.

Artificial Intelligence Researcher: Responsible for researching new artificial intelligence algorithms and applications, and exploring the future development direction of artificial intelligence.

Robotics Engineer: Responsible for the design and development of robot systems, including control systems, perception systems, decision-making systems, etc.

AI Project Manager: Responsible for managing AI projects, coordinating communication between the development team and customers, and ensuring that projects are delivered on time.

AI Product Manager: Responsible for planning and designing AI products, including market research, product definition, demand analysis, and product testing.

In the information age, choosing the Internet industry is an outdated decision, as for what major to choose, it is necessary to combine its own characteristics to choose a bridge or choice. If you are patient and delicate, you can learn the VR smart home creative designer major; If you have a big brain and are creative, you can study VR film and television animation designer; If you like makeup and have the dream of Internet celebrity, you can study Internet + beauty and image design; If you like the world of light and shadow and indulge in special effects, you can study 4D anime game designer.

Many students are worried that they don't know what to do after graduating from the artificial intelligence major, but in fact, each major has its own counterpart job, otherwise the Ministry of Education would not open this major. If candidates do like a certain major, it is recommended to choose according to their interests. Don't follow the crowd.

After graduating from the artificial intelligence major, you can stay in school as a teacher, a company R&D position, an artificial intelligence laboratory, etc. The specific positions are: data mining engineer, algorithm engineer, pre-sales technical support (business intelligence), industry researcher (**).

First: intelligence is one of the important trends in the future. With the development of the Internet, big data, cloud computing and Internet of Things and other related technologies will be popularized and applied one after another.

AI-related technologies will first be applied in the Internet industry, and then spread to other industries. Therefore, from the perspective of the overall development prospects, the development prospects of artificial intelligence-related fields are still very broad.

Second, the development of the industrial Internet will inevitably lead to the development of artificial intelligence. The Internet is currently developing from the consumer Internet to the industrial Internet, and the industrial Internet will comprehensively apply the Internet of Things, big data and artificial intelligence and other related technologies to empower the majority of traditional industries.

Third, artificial intelligence technology will become one of the essential skills for people in the workplace. With the gradual introduction of intelligent twins into the production environment, future employees will frequently communicate and cooperate with a large number of intelligent twins in the process of work, which puts forward new requirements for employees, that is, they need to master the relevant technologies of artificial intelligence.

From this point of view, mastering AI technology will become an inevitable trend in the future, and the education market for related skills will also usher in huge development opportunities.

For each of us, we will have our own way of life, and at the same time, we will have our own attitude to life, and we have the right to choose our own life, and others cannot interfere. In the current life, perhaps we will have certain ideas about our career field, and everyone should choose their own major, which is so that we can be better employed in the future. Artificial intelligence is a very good major, because it is now the era of big data, therefore, every field needs artificial intelligence professionals, and the future employment direction can be engaged in scientific research, or in the company to help develop artificial intelligence machines.

Each of us lives in a happy era, however, this era is also an era of rapid development. In our social life, artificial intelligence has been very common, so when people learn artificial intelligence majors, maybe their employment fields will be very broad, and artificial intelligence majors are also very good, which can better solve people's employment problems. <>

Life will always teach us to grow slowly. In my life, many of my classmates also studied artificial intelligence, and after graduation, they went to many companies to study and work. Their employment paths are very diverse.

Because this is an era of big data, every company needs AI professionals. Therefore, talents who study artificial intelligence can go to technology companies for scientific and technological research and development in the future, such as in the field of mobile phones, many companies need artificial intelligence professionals. <>

Those who study artificial intelligence majors have a very wide range of employment fields, because contemporary artificial intelligence is developing very rapidly. People can engage in artificial intelligence scientific research and bring more contributions to the country, and they can also go to the corresponding technology companies to develop new products for them, create innovations, and more new technologies.